CVE-2023-54387
Summary
by MITRE • 08/06/2026
Rejected reason: Erroneously reserved under wrong year by automation defect; never assigned.
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Analysis
by VulDB Data Team • 08/06/2026
This CVE identifier represents a technical artifact that was erroneously created due to an automation defect in the CVE assignment process. The vulnerability entry was mistakenly reserved under an incorrect year designation and was never actually assigned to a legitimate security issue. This type of error falls under the category of system-generated artifacts that occur when automated processes fail to properly validate or verify the correct temporal context for CVE assignments.
The fundamental flaw in this case stems from the automation systems that govern CVE identifier allocation, where temporal accuracy is critical for proper vulnerability tracking and management. When such errors occur, they create noise in vulnerability databases and can potentially confuse security professionals who may attempt to investigate non-existent issues. The error demonstrates a gap in quality control mechanisms within CVE assignment processes, particularly concerning year validation checks.
From an operational perspective, this erroneous reservation does not represent a real security threat but serves as a reminder of the importance of automated validation controls in vulnerability management systems. Security operations teams must be aware that certain CVE identifiers may appear in their tools but do not correspond to actual vulnerabilities, which could lead to wasted investigation time and resources.
The mitigation strategy for such automation defects involves implementing robust validation checks within CVE assignment systems, including temporal consistency verification and cross-referencing with existing vulnerability databases. Organizations should establish procedures to identify and flag such erroneous entries during regular database maintenance activities.
This type of error aligns with CWE category 209 which deals with improper handling of errors in automated systems, and represents a failure in process control that could be addressed through improved automation testing and validation protocols. The incident highlights the need for continuous monitoring and quality assurance processes in vulnerability management infrastructure.
From an ATT&CK framework perspective, this issue relates to defensive evasion techniques where malicious actors might attempt to exploit such system artifacts to confuse security teams or create false positives in threat detection systems. Proper CVE database management and validation procedures help prevent such confusion in security operations.
The resolution of this particular case involved the CVE Numbering Authority recognizing the automation defect and properly removing the erroneous reservation from the official CVE database. This demonstrates the importance of maintaining accurate vulnerability databases and having proper procedures for identifying and correcting system-generated artifacts that do not represent legitimate security concerns.
Organizations should implement regular audits of their vulnerability management systems to identify similar erroneous entries and ensure that their security tooling does not inadvertently process non-existent vulnerabilities. The incident serves as a reminder that automated systems require continuous monitoring and validation to prevent the propagation of incorrect information within security infrastructure.
The proper handling of such errors requires coordination between CVE Numbering Authorities, vulnerability database maintainers, and security operations teams to ensure that system artifacts do not create confusion in threat intelligence workflows or incident response procedures. This type of error resolution process is essential for maintaining the integrity of vulnerability management ecosystems.
Such automation defects can potentially impact security orchestration platforms that rely on CVE databases for correlation and analysis purposes. When erroneous identifiers appear in these systems, they can generate false alerts or disrupt automated response workflows that depend on accurate vulnerability data. Regular system validation and error correction procedures help maintain the reliability of security operations infrastructure.